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標題Title: A New Fuzzy Cover Approach to Clustering
作者Authors: 鄞宗賢,Jung-Hsien Chiang..等
上傳單位Department: 多媒體與電腦娛樂科學系
上傳時間Date: 2009-11-30
上傳者Author: 鄞宗賢
審核單位Department: 多媒體與電腦娛樂科學系
審核老師Teacher: 鄞宗賢
檔案類型Categories: 論文Thesis
關鍵詞Keyword: Binary fuzzy relation, cluster analysis, fuzzy clustering,, fuzzy cover.
摘要Abstract: This paper presents a new fuzzy cover-based
clustering algorithm. In the proposed algorithm, the concept
of fuzzy cover and objective function are employed to identify
holding points in the dataset, and we associate these holding
points together to build up the backbones of the final clusters.
Three specific objectives underlie the presentation of the proposed
approach in this paper. The first is to describe mathematical
formulation of the fuzzy covers, and the second is to summarize
the detailed procedure of constructing fuzzy covers and splicing
them into clusters. The third goal is to demonstrate that this
approach is able to find out reasonable representative patterns in
the final clusters. We illustrate this approach with four examples
in order to verify the clustering effectiveness.

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2009_11_65504f16.pdf 431Kb pdf 472 293
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